I’ll be @aclmeeting at San Diego & I have 2 papers:
1) https://t.co/3ecNb4NOkX (July 5, 2-3:30 pm poster session B)
2) https://t.co/4mdHjvMJTB (July 6, 9-10:30am poster session D)
I’ll also organize BoF session July 6, 11-12:30pm, room: La Jolla A&B
Looking forward to #ACL2026
I’ll be @aclmeeting at San Diego & I have 2 papers:
1) https://t.co/3ecNb4NOkX (July 5, 2-3:30 pm poster session B)
2) https://t.co/4mdHjvMJTB (July 6, 9-10:30am poster session D)
I’ll also organize BoF session July 6, 11-12:30pm, room: La Jolla A&B
Looking forward to #ACL2026
I’m on job market! Looking for discussing possible opportunities. My research lies in AI for Societal Impact, at the intersection of Natural Language Processing (NLP) & Computational Social Science (CSS). Completed Ph.D. @PurdueCS & served there as Visiting Assistant Professor.
📢 ARR May 2026 cycle update
We have published a blog post about the increased review assignments in the May cycle, what happened, and what comes next.
Please read the full post here:
https://t.co/55D2Og9mz3
#ARR#ACL#NLProc
Attending Midwest Speech and Language Days (MSLD) 2026 hosted by @uiuc_nlp@UofIllinois This is my 3rd time at MSLD. Excited to present my work & attending inspiring talks.
Btw: we drove 90 miles early morning to attend @radamihalcea’s talk 😊 @michigan_AI@PurdueCS#msld2026
Extended abstract titled “Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text” has been accepted to @IC2S2
Excited to present my work & meet awesome researchers @uvmcomplexity@PurdueCS@uvmvermont#nlproc#css#ic2s2
See you at Burlington!
@aclmeeting@PurdueCS Pre-print 2: https://t.co/iToCIR084B
We propose a post-hoc framework that uses LLMs as semantic judges to refine unsupervised text clusters via coherence verification, redundancy resolution, and label grounding—improving both coherence and human alignment without supervision.
Excited to share that two of my long papers are accepted to @aclmeeting ! 🎉
1. Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text
2. Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs
#ACL2026#NLProc#LLMs#ACL26@PurdueCS
@aclmeeting@PurdueCS Pre-print 1: https://t.co/8htkL2zwpN
Who gets the “stronger” message?
In this paper, we show that LLMs don’t just personalize—they shift tone, style, and persuasion based on demographics, often amplifying stereotypes in targeted communication.
@anthonymrios I was thinking the same. Why did they give the same date for both conferences through the ARR submission, rebuttal phase? But there is a small trick with a different commitment and notification deadlines.